Triple
T3854781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edith Head |
E89986
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Head
Head is a surname most famously associated with Edith Head, the legendary Hollywood costume designer.
|
E392584
|
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: Head | Statement: [Edith Head, familyName, Head]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Head Context triple: [Edith Head, familyName, Head]
-
A.
Hals
Hals is a renowned Dutch Golden Age painter, best known for his lively and expressive portraiture.
-
B.
Evhead
Evhead is the personal blog of Evan Williams, co-founder of Twitter and Blogger, where he has shared his thoughts on technology, startups, and the web.
-
C.
Hat Head
Hat Head is a small coastal village and national park area in New South Wales, Australia, known for its beaches, headland, and natural bushland.
-
D.
Head Crusher
Head Crusher is a recurring darkly comic character from the Canadian sketch comedy show "The Kids in the Hall," known for miming the crushing of people's heads from a distance with his fingers.
-
E.
La Cabeza
La Cabeza is one of the principal summits of the Iztaccíhuatl volcano in central Mexico, forming part of its distinctive, human-like silhouette.
- 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: Head Triple: [Edith Head, familyName, Head]
Generated description
Head is a surname most famously associated with Edith Head, the legendary Hollywood costume designer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Head Target entity description: Head is a surname most famously associated with Edith Head, the legendary Hollywood costume designer.
-
A.
Hals
Hals is a renowned Dutch Golden Age painter, best known for his lively and expressive portraiture.
-
B.
Evhead
Evhead is the personal blog of Evan Williams, co-founder of Twitter and Blogger, where he has shared his thoughts on technology, startups, and the web.
-
C.
Hat Head
Hat Head is a small coastal village and national park area in New South Wales, Australia, known for its beaches, headland, and natural bushland.
-
D.
Head Crusher
Head Crusher is a recurring darkly comic character from the Canadian sketch comedy show "The Kids in the Hall," known for miming the crushing of people's heads from a distance with his fingers.
-
E.
La Cabeza
La Cabeza is one of the principal summits of the Iztaccíhuatl volcano in central Mexico, forming part of its distinctive, human-like silhouette.
- 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_69aed95b3c088190a8f85d19e6070599 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec05ec4c8190bd5e5463163712dc |
completed | March 9, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5041c7250819093b2743afeb6e36c |
completed | March 14, 2026, 6:45 a.m. |
| NEDg | Description generation | batch_69b504c46dcc8190a9775c39e5c734a9 |
completed | March 14, 2026, 6:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b505742830819093a861bde17c03c0 |
completed | March 14, 2026, 6:51 a.m. |
Created at: March 9, 2026, 3:19 p.m.