Triple
T14507796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ed Oxenbould |
E340309
|
entity |
| Predicate | hasIMDbId |
P7954
|
FINISHED |
| Object |
nm4456120
Ed Oxenbould is an Australian actor known for his roles in films such as "Alexander and the Terrible, Horrible, No Good, Very Bad Day" and "The Visit."
|
E1102311
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: nm4456120 | Statement: [Ed Oxenbould, hasIMDbId, nm4456120]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: nm4456120 Context triple: [Ed Oxenbould, hasIMDbId, nm4456120]
-
A.
nm4677148
Steele Stebbins is an American child actor best known for his role as Kevin Griswold in the 2015 comedy film "Vacation."
-
B.
nm4141252
Celine Buckens is a Belgian-born British actress known for roles in productions such as "War Horse," "Free Rein," and "Showtrial."
-
C.
nm2765384
Alba Flores is a Spanish actress best known internationally for her role as Nairobi in the hit television series "Money Heist" ("La Casa de Papel").
-
D.
nm
nm is a command-line utility that lists and analyzes the symbols from object files and binaries, commonly used for debugging and reverse engineering in Unix-like systems.
-
E.
NM 4
NM 4 is a state highway in New Mexico that runs through the Jemez Mountains, providing access to scenic landscapes, small communities, and nearby national monuments.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: nm4456120 Triple: [Ed Oxenbould, hasIMDbId, nm4456120]
Generated description
Ed Oxenbould is an Australian actor known for his roles in films such as "Alexander and the Terrible, Horrible, No Good, Very Bad Day" and "The Visit."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: nm4456120 Target entity description: Ed Oxenbould is an Australian actor known for his roles in films such as "Alexander and the Terrible, Horrible, No Good, Very Bad Day" and "The Visit."
-
A.
nm4677148
Steele Stebbins is an American child actor best known for his role as Kevin Griswold in the 2015 comedy film "Vacation."
-
B.
nm4141252
Celine Buckens is a Belgian-born British actress known for roles in productions such as "War Horse," "Free Rein," and "Showtrial."
-
C.
nm2765384
Alba Flores is a Spanish actress best known internationally for her role as Nairobi in the hit television series "Money Heist" ("La Casa de Papel").
-
D.
nm
nm is a command-line utility that lists and analyzes the symbols from object files and binaries, commonly used for debugging and reverse engineering in Unix-like systems.
-
E.
NM 4
NM 4 is a state highway in New Mexico that runs through the Jemez Mountains, providing access to scenic landscapes, small communities, and nearby national monuments.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e40e44819084f323f8f9982b75 |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6da07ff481909fb2463b0ea92849 |
completed | May 8, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69fd6eca4ff48190b7c16d92234cb43c |
completed | May 8, 2026, 5:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd6f38ea788190a957419ca1971b15 |
completed | May 8, 2026, 5:06 a.m. |
Created at: April 10, 2026, 1:21 a.m.