Triple
T7866316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Heizer |
E182623
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Heizer
Heizer is a surname most notably associated with American archaeologist Robert Heizer, known for his work on Native American cultures of California and Nevada.
|
E701052
|
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: Heizer | Statement: [Robert Heizer, familyName, Heizer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heizer Context triple: [Robert Heizer, familyName, Heizer]
-
A.
Haizer
Haizer is a town and commune located in Bouira Province in northern Algeria.
-
B.
Martz
Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
-
C.
Porter
Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
-
D.
Porter
Porter is a common English occupational surname historically given to gatekeepers or doorkeepers.
-
E.
Heissler
Heissler is a German-language surname most notably associated with the animated character Klaus Heissler from the television series "American Dad!".
- 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: Heizer Triple: [Robert Heizer, familyName, Heizer]
Generated description
Heizer is a surname most notably associated with American archaeologist Robert Heizer, known for his work on Native American cultures of California and Nevada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heizer Target entity description: Heizer is a surname most notably associated with American archaeologist Robert Heizer, known for his work on Native American cultures of California and Nevada.
-
A.
Haizer
Haizer is a town and commune located in Bouira Province in northern Algeria.
-
B.
Martz
Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
-
C.
Porter
Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
-
D.
Porter
Porter is a common English occupational surname historically given to gatekeepers or doorkeepers.
-
E.
Heissler
Heissler is a German-language surname most notably associated with the animated character Klaus Heissler from the television series "American Dad!".
- 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3844eacc81908f8e1e5fc4dafec8 |
completed | March 31, 2026, 2:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b5908a88190bc00f0d6dbde0b58 |
completed | March 31, 2026, 5:27 a.m. |
| NEDg | Description generation | batch_69cb762fda2c81908ed508e12cabb938 |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbbf706e888190bfd08d9d78945c49 |
completed | March 31, 2026, 12:34 p.m. |
Created at: March 30, 2026, 4:54 p.m.