Triple
T17747592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tahmoh Penikett |
E443027
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Penikett
Penikett is the surname of Tahmoh Penikett, a Canadian actor known for roles in science fiction television series such as Battlestar Galactica and Dollhouse.
|
E1285978
|
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: Penikett | Statement: [Tahmoh Penikett, familyName, Penikett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Penikett Context triple: [Tahmoh Penikett, familyName, Penikett]
-
A.
Penipe
Penipe is a small town and canton in central Ecuador known for its agricultural economy and proximity to the active Tungurahua volcano.
-
B.
The Pete
The Pete is a multi-purpose indoor arena at the University of Pittsburgh known primarily as the home venue for the Pittsburgh Panthers basketball teams.
-
C.
Pikiell
Pikiell is the surname of Steve Pikiell, an American college basketball coach best known for leading the Rutgers Scarlet Knights men's basketball program.
-
D.
The Nick
The Nick is a film or television project recognized as a significant work in the career of editor Michelle Tesoro.
-
E.
Picken
Picken is a surname and variant of the name Pickens, borne by various individuals across English-speaking countries.
- 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: Penikett Triple: [Tahmoh Penikett, familyName, Penikett]
Generated description
Penikett is the surname of Tahmoh Penikett, a Canadian actor known for roles in science fiction television series such as Battlestar Galactica and Dollhouse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Penikett Target entity description: Penikett is the surname of Tahmoh Penikett, a Canadian actor known for roles in science fiction television series such as Battlestar Galactica and Dollhouse.
-
A.
Penipe
Penipe is a small town and canton in central Ecuador known for its agricultural economy and proximity to the active Tungurahua volcano.
-
B.
The Pete
The Pete is a multi-purpose indoor arena at the University of Pittsburgh known primarily as the home venue for the Pittsburgh Panthers basketball teams.
-
C.
Pikiell
Pikiell is the surname of Steve Pikiell, an American college basketball coach best known for leading the Rutgers Scarlet Knights men's basketball program.
-
D.
The Nick
The Nick is a film or television project recognized as a significant work in the career of editor Michelle Tesoro.
-
E.
Picken
Picken is a surname and variant of the name Pickens, borne by various individuals across English-speaking countries.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47ad33160819093c9bbd3c8957314 |
completed | April 19, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02430296708190a2e68097b69f2f37 |
completed | May 11, 2026, 8:58 p.m. |
| NEDg | Description generation | batch_6a024810afec8190bfe11b35bb1853ac |
completed | May 11, 2026, 9:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0248e4d7548190b23a70068868b2f9 |
completed | May 11, 2026, 9:23 p.m. |
Created at: April 10, 2026, 10:10 a.m.