Triple
T17530103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ennis C. Whitehead |
E426907
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Whitehead
Whitehead is a surname of English origin borne by various notable individuals across fields such as philosophy, literature, and the military.
|
E1273567
|
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: Whitehead | Statement: [Ennis C. Whitehead, familyName, Whitehead]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whitehead Context triple: [Ennis C. Whitehead, familyName, Whitehead]
-
A.
Whitehead
Whitehead is a small coastal town in County Antrim, Northern Ireland, known for its Victorian architecture and seaside promenade.
-
B.
Bridgman
Bridgman is a surname most notably associated with American physicist and Nobel laureate Percy Williams Bridgman, a pioneer in high-pressure physics.
-
C.
Russell
Russell is the middle name of Rensselaer Russell Nelson, an American jurist who served as a United States federal judge in the 19th century.
-
D.
Russell
Russell is a supporting character from the classic Doctor Who serial "Attack of the Cybermen," involved in the story’s conflict with the Cybermen.
-
E.
Russell
Russell is the enthusiastic young Wilderness Explorer who befriends elderly widower Carl Fredricksen in Pixar's animated film "Up."
- 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: Whitehead Triple: [Ennis C. Whitehead, familyName, Whitehead]
Generated description
Whitehead is a surname of English origin borne by various notable individuals across fields such as philosophy, literature, and the military.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Whitehead Target entity description: Whitehead is a surname of English origin borne by various notable individuals across fields such as philosophy, literature, and the military.
-
A.
Whitehead
Whitehead is a small coastal town in County Antrim, Northern Ireland, known for its Victorian architecture and seaside promenade.
-
B.
Bridgman
Bridgman is a surname most notably associated with American physicist and Nobel laureate Percy Williams Bridgman, a pioneer in high-pressure physics.
-
C.
Russell
Russell is the middle name of Rensselaer Russell Nelson, an American jurist who served as a United States federal judge in the 19th century.
-
D.
Russell
Russell is a supporting character from the classic Doctor Who serial "Attack of the Cybermen," involved in the story’s conflict with the Cybermen.
-
E.
Russell
Russell is the enthusiastic young Wilderness Explorer who befriends elderly widower Carl Fredricksen in Pixar's animated film "Up."
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45367d68c819097f300381322f11d |
completed | April 19, 2026, 4 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c9494c28819086d10adb536ffed8 |
completed | May 11, 2026, 12:19 p.m. |
| NEDg | Description generation | batch_6a01ca2927f081908856b2d206776e44 |
completed | May 11, 2026, 12:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01caa5d0c8819085dea57b00c498e0 |
completed | May 11, 2026, 12:25 p.m. |
Created at: April 10, 2026, 5:49 a.m.