Triple
T10324822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gale Halderman |
E242734
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Halderman |
E242734
|
NE FINISHED |
How this triple was built (2 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: Halderman | Statement: [Gale Halderman, familyName, Halderman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halderman Context triple: [Gale Halderman, familyName, Halderman]
-
A.
Halderman
chosen
Halderman is a surname most notably associated with Gale Halderman, the American designer credited with creating the original Ford Mustang.
-
B.
Hartman
Hartman is a surname of Germanic origin borne by various notable individuals across fields such as entertainment, academia, and politics.
-
C.
Hartmann
Hartmann is a German surname borne by numerous notable individuals across fields such as music, philosophy, and aviation.
-
D.
Boreman
Boreman is the birth surname of Linda Lovelace, the infamous American pornographic film actress best known for her role in "Deep Throat."
-
E.
Klepper
Klepper is the surname of American comedian and television host Jordan Klepper, known for his work on political satire programs such as The Daily Show.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71da93b988190ad568b0677b5d344 |
completed | April 9, 2026, 3:31 a.m. |
Created at: April 6, 2026, 11:51 a.m.