Triple
T1972651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael H. Moloney |
E42835
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Michael H. Moloney |
E42835
|
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: Michael H. Moloney | Statement: [Michael H. Moloney, name, Michael H. Moloney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael H. Moloney Context triple: [Michael H. Moloney, name, Michael H. Moloney]
-
A.
Michael H. Moloney
chosen
Michael H. Moloney is a physics-focused science policy and leadership professional who serves as the chief executive officer of the American Institute of Physics.
-
B.
Daniel E. Moran
Daniel E. Moran is an engineer known for his role in designing the San Francisco–Oakland Bay Bridge.
-
C.
Daniel P. Higgins
Daniel P. Higgins was an architect associated with the design work on the Jefferson Memorial in Washington, D.C.
-
D.
Michael O'Herlihy
Michael O'Herlihy was an Irish-born television and film director known for his extensive work on American TV series and miniseries in the 1960s and 1970s.
-
E.
Patrick E. Haggerty
Patrick E. Haggerty was an American engineer and business executive who played a pivotal role in the early semiconductor industry and the growth of Texas Instruments into a major technology company.
- 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_69a8871289048190b00b0d7744b7b2b1 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3f477988190b0165fc46b1cccfd |
completed | March 7, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1de68338c8190bf28d0a51716623a |
completed | March 11, 2026, 9:28 p.m. |
Created at: March 4, 2026, 7:36 p.m.