Triple
T20664551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Land Before Time |
E507850
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Stu Krieger
Stu Krieger is an American screenwriter best known for his work on animated and family films, including co-writing the beloved 1988 film "The Land Before Time."
|
E1444532
|
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: Stu Krieger | Statement: [The Land Before Time, screenwriter, Stu Krieger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stu Krieger Context triple: [The Land Before Time, screenwriter, Stu Krieger]
-
A.
Johnny Messner
Johnny Messner is an American actor known for his tough-guy roles in action films and television series such as "Tears of the Sun" and "Spartan."
-
B.
Joe Kolsky
Joe Kolsky was a music industry figure best known as the founder of the American record label Roulette Records.
-
C.
Dave Kovic
Dave Kovic is the affable presidential look-alike who impersonates the U.S. President in the political comedy film "Dave."
-
D.
Bobby Stark
Bobby Stark is a fictional character named Bobby Stark who appears in the film "Life."
-
E.
Rob Strasser
Rob Strasser was a prominent Nike executive and marketing strategist known for his key role in signing Michael Jordan and shaping the Air Jordan brand.
- 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: Stu Krieger Triple: [The Land Before Time, screenwriter, Stu Krieger]
Generated description
Stu Krieger is an American screenwriter best known for his work on animated and family films, including co-writing the beloved 1988 film "The Land Before Time."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stu Krieger Target entity description: Stu Krieger is an American screenwriter best known for his work on animated and family films, including co-writing the beloved 1988 film "The Land Before Time."
-
A.
Johnny Messner
Johnny Messner is an American actor known for his tough-guy roles in action films and television series such as "Tears of the Sun" and "Spartan."
-
B.
Joe Kolsky
Joe Kolsky was a music industry figure best known as the founder of the American record label Roulette Records.
-
C.
Dave Kovic
Dave Kovic is the affable presidential look-alike who impersonates the U.S. President in the political comedy film "Dave."
-
D.
Bobby Stark
Bobby Stark is a fictional character named Bobby Stark who appears in the film "Life."
-
E.
Rob Strasser
Rob Strasser was a prominent Nike executive and marketing strategist known for his key role in signing Michael Jordan and shaping the Air Jordan brand.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2f541bc8190ac7946b91647f2b0 |
completed | April 20, 2026, 11:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08cd5d0da481909eebd69b8b314503 |
completed | May 16, 2026, 8:02 p.m. |
| NEDg | Description generation | batch_6a08d175206c8190b119bb1a2d06462f |
completed | May 16, 2026, 8:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d293523c8190aaa01c6c73c9afd5 |
completed | May 16, 2026, 8:24 p.m. |
Created at: April 16, 2026, 11:44 a.m.