Triple
T3998239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Brokaw |
E87148
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Andrea Brokaw
Andrea Brokaw is one of the daughters of American television journalist and longtime NBC News anchor Tom Brokaw.
|
E406054
|
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: Andrea Brokaw | Statement: [Tom Brokaw, hasChild, Andrea Brokaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrea Brokaw Context triple: [Tom Brokaw, hasChild, Andrea Brokaw]
-
A.
Sarah Broshar
Sarah Broshar is a film editor known for her work on major feature films, including collaborations with acclaimed directors.
-
B.
Julie Naschauer
Julie Naschauer was the wife of Theodor Herzl, the Austro-Hungarian journalist and founder of modern political Zionism.
-
C.
Erika Leonard
Erika Leonard, better known by her pen name E. L. James, is a British author internationally recognized for writing the bestselling erotic romance series "Fifty Shades of Grey."
-
D.
Dawn Olivieri
Dawn Olivieri is an American actress known for her roles in television series such as "Heroes" and "House of Lies" as well as various film appearances.
-
E.
Melissa Parmenter
Melissa Parmenter is a British composer and producer known for her film scores and frequent collaborations with director Michael Winterbottom.
- 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: Andrea Brokaw Triple: [Tom Brokaw, hasChild, Andrea Brokaw]
Generated description
Andrea Brokaw is one of the daughters of American television journalist and longtime NBC News anchor Tom Brokaw.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrea Brokaw Target entity description: Andrea Brokaw is one of the daughters of American television journalist and longtime NBC News anchor Tom Brokaw.
-
A.
Sarah Broshar
Sarah Broshar is a film editor known for her work on major feature films, including collaborations with acclaimed directors.
-
B.
Julie Naschauer
Julie Naschauer was the wife of Theodor Herzl, the Austro-Hungarian journalist and founder of modern political Zionism.
-
C.
Erika Leonard
Erika Leonard, better known by her pen name E. L. James, is a British author internationally recognized for writing the bestselling erotic romance series "Fifty Shades of Grey."
-
D.
Dawn Olivieri
Dawn Olivieri is an American actress known for her roles in television series such as "Heroes" and "House of Lies" as well as various film appearances.
-
E.
Melissa Parmenter
Melissa Parmenter is a British composer and producer known for her film scores and frequent collaborations with director Michael Winterbottom.
- 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_69aed94118148190975e6aa4e554cde9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa3ef7ac8190abe02f440ff83c43 |
completed | March 9, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c57f60c819080e237b4b056d73b |
completed | March 14, 2026, 11:54 a.m. |
| NEDg | Description generation | batch_69b54dbaf3d88190962e5c0b5b4604d4 |
completed | March 14, 2026, 11:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b54e16cde48190bb82f0eb04470629 |
completed | March 14, 2026, 12:01 p.m. |
Created at: March 9, 2026, 3:34 p.m.