Triple
T16585506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Michael Holt |
E402945
|
entity |
| Predicate | hasColleague |
P398
|
FINISHED |
| Object | Zeke |
unclear NED1
|
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: Zeke | Statement: [Dr. Michael Holt, hasColleague, Zeke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zeke Context triple: [Dr. Michael Holt, hasColleague, Zeke]
-
A.
Zeke
Zeke is a central male character in the romantic comedy film "Think Like a Man," known for navigating modern dating dynamics alongside a group of friends influenced by a relationship advice book.
-
B.
Zeke
Zeke is the Allied reporting name for the Mitsubishi A6M Zero, the famous Japanese carrier-based fighter aircraft used extensively during World War II.
-
C.
Zeke
Zeke is the character portrayed by actor Irving Lahrheim (better known as Bert Lahr), most famously associated with his role in "The Wizard of Oz."
-
D.
Zeke Zettner
Zeke Zettner was an American musician best known as a bassist for the influential proto-punk band The Stooges.
-
E.
Zeke Hawkins
Zeke Hawkins is a central character in the science fiction horror film "Sliver."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3599b057881909fcb8bbb156633a8 |
completed | April 18, 2026, 10:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ef4f17c819095b3c6f8644b687b |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:16 a.m.